IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v191y2024ics1364032123010201.html
   My bibliography  Save this article

Opportunities for cleaner leather processing based on protease enzyme: Current evidence from an advanced bibliometric analysis

Author

Listed:
  • de Castro Bizerra, Viviane
  • Sales, Misael Bessa
  • Fernandes Melo, Rafael Leandro
  • Andrade do Nascimento, Jean Gleison
  • Junior, João Brandão
  • França Silva, Michael Pablo
  • Moreira dos Santos, Kaiany
  • da Silva Sousa, Patrick
  • Marques da Fonseca, Aluísio
  • de Souza, Maria Cristiane Martins
  • Sousa dos Santos, José Cleiton

Abstract

The leather industry is the fastest-growing sector globally and is present in footwear, clothing and automotive leather. The use of enzymatic processes that potentially produce sector production is an alternative that has already been validated as an ecologically more favourable mechanism. This review aims to carry out an advanced bibliometric analysis of studies and research advances on using the protease enzyme in leather processing. The Web of Science platform refined 65 publications related to the area from 2010 to 2022. Prominent researchers, countries, journals and institutions were identified. Central research on the topic is concentrated in India, Tunisia, Algeria, China and Brazil, countries that produce the most in the area. The keyword analysis identified five clusters associated with new applicable methodologies that contribute to economic efficiency in the leather industries. Alkaline proteases of bacterial origin are the most prominent in biotechnological processes, the alkaline serine protease being the most important. Species of the genus Bacillus were the most explored, emphasizing Bacillus Subtilis and Bacillus Cereus. The keyword “bacillus” is the second word that appears most in the articles analyzed (23.9 % in 39 publications), the first keyword is “dehairing” (31.9 % in 52 publications), which is the process that most applies to alkaline products and protease enzymes. The industry has a significant interest in the use of protease enzymes. Future studies should focus on new favourable processes for protease applications, aiming to improve the production of cleaner leather.

Suggested Citation

  • de Castro Bizerra, Viviane & Sales, Misael Bessa & Fernandes Melo, Rafael Leandro & Andrade do Nascimento, Jean Gleison & Junior, João Brandão & França Silva, Michael Pablo & Moreira dos Santos, Kaian, 2024. "Opportunities for cleaner leather processing based on protease enzyme: Current evidence from an advanced bibliometric analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
  • Handle: RePEc:eee:rensus:v:191:y:2024:i:c:s1364032123010201
    DOI: 10.1016/j.rser.2023.114162
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032123010201
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2023.114162?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    3. Moktadir, Md. Abdul & Rahman, Mohammed Mizanur, 2022. "Energy production from leather solid wastes by anaerobic digestion: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    4. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    2. Lin Hu & Qinghai Chen & Tingting Yang & Chuanjian Yi & Jing Chen, 2024. "Visualization and Analysis of Hotspots and Trends in Seafood Cold Chain Logistics Based on CiteSpace, VOSviewer, and RStudio Bibliometrix," Sustainability, MDPI, vol. 16(15), pages 1-22, July.
    3. Dušan Nikolić & Dragan Ivanović & Lidija Ivanović, 2024. "An open-source tool for merging data from multiple citation databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4573-4595, July.
    4. Rongrong Li & Feng Ren & Qiang Wang, 2024. "China–US scientific collaboration on sustainable development amidst geopolitical tensions," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-19, December.
    5. Rocío González-Sánchez & Sara Alonso-Muñoz & María Sonia Medina-Salgado, 2023. "Circularity in waste management: a research proposal to achieve the 2030 Agenda," Operations Management Research, Springer, vol. 16(3), pages 1520-1540, September.
    6. Mathew Azarian & Hao Yu & Asmamaw Tadege Shiferaw & Tor Kristian Stevik, 2023. "Do We Perform Systematic Literature Review Right? A Scientific Mapping and Methodological Assessment," Logistics, MDPI, vol. 7(4), pages 1-32, November.
    7. Itsuki Kageyama & Karin Kurata & Shuto Miyashita & Yeongjoo Lim & Shintaro Sengoku & Kota Kodama, 2022. "A Bibliometric Analysis of Wearable Device Research Trends 2001–2022—A Study on the Reversal of Number of Publications and Research Trends in China and the USA," IJERPH, MDPI, vol. 19(24), pages 1-19, December.
    8. Yuntao Lian & Jiafeng Xie, 2024. "The Evolution of Digital Cultural Heritage Research: Identifying Key Trends, Hotspots, and Challenges through Bibliometric Analysis," Sustainability, MDPI, vol. 16(16), pages 1-39, August.
    9. Pawinee Iamtrakul & Sararad Chayphong & Derlie Mateo-Babiano, 2023. "The Transition of Land Use and Road Safety Studies: A Systematic Literature Review (2000–2021)," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    10. Qin, Yong & Xu, Zeshui & Wang, Xinxin & Škare, Marinko, 2022. "Green energy adoption and its determinants: A bibliometric analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    11. Irene Campos‐García & Sara Alonso‐Muñoz & Rocío González‐Sánchez & María‐Sonia Medina‐Salgado, 2024. "Human resource management and sustainability: Bridging the 2030 agenda," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(3), pages 2033-2053, May.
    12. Hua Zheng & Min Guo & Qian Wang & Qinghai Zhang & Noriko Akita, 2023. "A Bibliometric Analysis of Current Knowledge Structure and Research Progress Related to Urban Community Garden Systems," Land, MDPI, vol. 12(1), pages 1-34, January.
    13. Ileana Blanco & Luigi De Bellis & Andrea Luvisi, 2022. "Bibliometric Mapping of Research on Life Cycle Assessment of Olive Oil Supply Chain," Sustainability, MDPI, vol. 14(7), pages 1-25, March.
    14. Wai Ming To & Andy W. L. Chung, 2023. "Carbon-Neutrality Research in China—Trends and Emerging Themes," World, MDPI, vol. 4(3), pages 1-19, August.
    15. Jacob Wood & Gohar Feroz Khan, 2015. "International trade negotiation analysis: network and semantic knowledge infrastructure," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 537-556, October.
    16. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    17. Migliavacca, Milena & Goodell, John W. & Paltrinieri, Andrea, 2023. "A bibliometric review of portfolio diversification literature," International Review of Financial Analysis, Elsevier, vol. 90(C).
    18. Gour Gobinda Goswami & Tahmid Labib, 2022. "Modeling COVID-19 Transmission Dynamics: A Bibliometric Review," IJERPH, MDPI, vol. 19(21), pages 1-19, October.
    19. Yulei Xie & Ling Ji & Beibei Zhang & Gordon Huang, 2018. "Evolution of the Scientific Literature on Input–Output Analysis: A Bibliometric Analysis of 1990–2017," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    20. Duan, Zhengxiao & Zhang, Yanni & Deng, Jun & Shu, Pan & Yao, Di, 2023. "A systematic exploration of mapping knowledge domains for free radical research related to coal," Energy, Elsevier, vol. 282(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:191:y:2024:i:c:s1364032123010201. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.